Google's cost-efficient Gemini 3.5 Flash Lite model for high-volume multimodal reasoning, tool use, and structured-output workloads.
Added Jul 21, 2026
Context Window
1.0M
Max Output
65.5K
Avg output tokens (7d)
327 tokens
Input Price (Auto)
$0.30/1M
Output Price (Auto)
$2.50/1M
Cache Read (Auto)
$0.030/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
22.2
Coding Index
49.3
Agentic Index
14.3
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
25.0%
Better than 46% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
648 Elo
Better than 27% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
970 Elo
Better than 44% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
13.6%
Better than 54% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
76.0%
Better than 75% of models compared
MLCR-AA
Medical long-context reasoning
7.2%
Better than 23% of models compared
Reasoning
HLE
Humanity's Last Exam
18.8%
Better than 66% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
1.0%
Better than 42% of models compared
SciCode
Python programming for scientific computing
41.3%
Better than 29% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
29.5%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
34.4%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
83.8%
Better than 74% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
76.0%
Better than 75% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
23.5%
Last updated Oct 1, 2026
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Gemini 3.6 Flash
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Gemini 3.5 Flash
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